from sklearn_benchmarks.reporting.hp_match import HPMatchReporting
import pandas as pd
pd.set_option('display.max_colwidth', None)
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)
reporting = HPMatchReporting("sklearnex", config="config.yml")
reporting.run()
KNeighborsClassifier_brute_force¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: algorithm=brute.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | NaN | 6.647 | 0.0 | -1 | 1 | NaN | NaN | 0.062 | 0.000 | 0.195 | 0.195 | See | See |
| 5 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | NaN | 6.926 | 0.0 | -1 | 5 | NaN | 1.000 | 0.009 | 0.000 | 1.349 | 1.350 | See | See |
| 10 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | NaN | 6.471 | 0.0 | 1 | 100 | NaN | 0.875 | 0.214 | 0.004 | 0.058 | 0.058 | See | See |
| 15 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.013 | 0.0 | NaN | 6.311 | 0.0 | -1 | 100 | NaN | NaN | 0.048 | 0.000 | 0.266 | 0.266 | See | See |
| 20 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | NaN | 6.851 | 0.0 | 1 | 5 | NaN | 1.000 | 0.001 | 0.000 | 16.186 | 16.522 | See | See |
| 25 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | NaN | 6.861 | 0.0 | 1 | 1 | NaN | 0.975 | 0.061 | 0.001 | 0.192 | 0.192 | See | See |
| 30 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 2 | 0.005 | 0.0 | NaN | 0.335 | 0.0 | -1 | 1 | NaN | NaN | 0.009 | 0.000 | 0.518 | 0.518 | See | See |
| 35 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 2 | 0.005 | 0.0 | NaN | 0.334 | 0.0 | -1 | 5 | NaN | 1.000 | 0.001 | 0.000 | 6.455 | 6.543 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 18.307 | 0.070 | NaN | 0.000 | 0.018 | -1 | 1 | 0.663 | 0.687 | 0.175 | 0.004 | 104.317 | 104.339 | See | See |
| 2 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 2.019 | 0.057 | NaN | 0.000 | 0.002 | -1 | 1 | 0.663 | 1.000 | 0.009 | 0.000 | 237.415 | 237.569 | See | See |
| 3 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.304 | 0.010 | NaN | 0.000 | 0.304 | -1 | 1 | 1.000 | NaN | 0.047 | 0.000 | 6.400 | 6.400 | See | See |
| 4 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.023 | 0.002 | NaN | 0.000 | 0.023 | -1 | 1 | 1.000 | 0.742 | 0.175 | 0.002 | 0.129 | 0.129 | See | See |
| 6 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 18.303 | 0.010 | NaN | 0.000 | 0.018 | -1 | 5 | 0.757 | NaN | 0.047 | 0.000 | 389.453 | 389.453 | See | See |
| 7 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 2.914 | 0.038 | NaN | 0.000 | 0.003 | -1 | 5 | 0.757 | 0.875 | 0.213 | 0.001 | 13.652 | 13.652 | See | See |
| 8 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.322 | 0.006 | NaN | 0.000 | 0.322 | -1 | 5 | 1.000 | 0.000 | 0.009 | 0.000 | 35.529 | 35.549 | See | See |
| 9 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.027 | 0.003 | NaN | 0.000 | 0.027 | -1 | 5 | 1.000 | NaN | 0.047 | 0.000 | 0.561 | 0.561 | See | See |
| 11 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 18.946 | 0.097 | NaN | 0.000 | 0.019 | 1 | 100 | 0.882 | 0.000 | 0.009 | 0.000 | 2165.205 | 2167.974 | See | See |
| 12 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 2.085 | 0.007 | NaN | 0.000 | 0.002 | 1 | 100 | 0.882 | NaN | 0.047 | 0.000 | 44.388 | 44.388 | See | See |
| 13 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.311 | 0.010 | NaN | 0.000 | 0.311 | 1 | 100 | 1.000 | 0.742 | 0.175 | 0.001 | 1.772 | 1.772 | See | See |
| 14 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.020 | 0.000 | NaN | 0.000 | 0.020 | 1 | 100 | 1.000 | 1.000 | 0.009 | 0.000 | 2.370 | 2.371 | See | See |
| 16 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 18.422 | 0.065 | NaN | 0.000 | 0.018 | -1 | 100 | 0.882 | 0.687 | 0.175 | 0.003 | 105.151 | 105.170 | See | See |
| 17 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 2.891 | 0.038 | NaN | 0.000 | 0.003 | -1 | 100 | 0.882 | 1.000 | 0.009 | 0.000 | 322.043 | 322.168 | See | See |
| 18 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.308 | 0.004 | NaN | 0.000 | 0.308 | -1 | 100 | 1.000 | NaN | 0.009 | 0.000 | 34.147 | 34.147 | See | See |
| 19 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.023 | 0.002 | NaN | 0.000 | 0.023 | -1 | 100 | 1.000 | 0.967 | 0.026 | 0.000 | 0.887 | 0.887 | See | See |
| 21 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 18.276 | 0.030 | NaN | 0.000 | 0.018 | 1 | 5 | 0.757 | NaN | 0.009 | 0.000 | 2001.872 | 2001.872 | See | See |
| 22 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 2.053 | 0.005 | NaN | 0.000 | 0.002 | 1 | 5 | 0.757 | 0.974 | 0.027 | 0.000 | 76.060 | 76.062 | See | See |
| 23 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.308 | 0.007 | NaN | 0.000 | 0.308 | 1 | 5 | 1.000 | 1.000 | 0.001 | 0.000 | 430.037 | 439.697 | See | See |
| 24 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.019 | 0.000 | NaN | 0.000 | 0.019 | 1 | 5 | 1.000 | NaN | 0.009 | 0.000 | 2.127 | 2.127 | See | See |
| 26 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 18.268 | 0.160 | NaN | 0.000 | 0.018 | 1 | 1 | 0.663 | 1.000 | 0.001 | 0.000 | 23367.079 | 23839.789 | See | See |
| 27 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 1.185 | 0.009 | NaN | 0.001 | 0.001 | 1 | 1 | 0.663 | NaN | 0.009 | 0.000 | 128.065 | 128.065 | See | See |
| 28 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.308 | 0.005 | NaN | 0.000 | 0.308 | 1 | 1 | 1.000 | 0.975 | 0.061 | 0.000 | 5.038 | 5.038 | See | See |
| 29 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.020 | 0.002 | NaN | 0.000 | 0.020 | 1 | 1 | 1.000 | 1.000 | 0.001 | 0.000 | 24.393 | 24.827 | See | See |
| 31 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 2 | 3.702 | 0.015 | NaN | 0.000 | 0.004 | -1 | 1 | 0.896 | 0.974 | 0.027 | 0.000 | 135.299 | 135.321 | See | See |
| 32 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 2 | 1.859 | 0.026 | NaN | 0.000 | 0.002 | -1 | 1 | 0.896 | 1.000 | 0.001 | 0.000 | 2582.300 | 2636.815 | See | See |
| 33 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 2 | 0.240 | 0.005 | NaN | 0.000 | 0.240 | -1 | 1 | 1.000 | NaN | 0.009 | 0.000 | 26.151 | 26.151 | See | See |
| 34 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 2 | 0.008 | 0.003 | NaN | 0.000 | 0.008 | -1 | 1 | 1.000 | 0.967 | 0.026 | 0.000 | 0.313 | 0.313 | See | See |
KNeighborsClassifier_kd_tree¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: algorithm=kd_tree.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 3.581 | 0.0 | NaN | 0.022 | 0.0 | -1 | 1 | NaN | NaN | 0.857 | 0.000 | 4.176 | 4.176 | See | See |
| 5 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 3.939 | 0.0 | NaN | 0.020 | 0.0 | -1 | 5 | NaN | 1.000 | 0.000 | 0.000 | 8333.050 | 9091.946 | See | See |
| 10 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 3.826 | 0.0 | NaN | 0.021 | 0.0 | 1 | 100 | NaN | 0.940 | 0.619 | 0.016 | 6.182 | 6.184 | See | See |
| 15 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 4.204 | 0.0 | NaN | 0.019 | 0.0 | -1 | 100 | NaN | NaN | 0.735 | 0.000 | 5.718 | 5.718 | See | See |
| 20 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 4.006 | 0.0 | NaN | 0.020 | 0.0 | 1 | 5 | NaN | 1.000 | 0.000 | 0.000 | 36112.554 | 48886.243 | See | See |
| 25 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 4.117 | 0.0 | NaN | 0.019 | 0.0 | 1 | 1 | NaN | 0.917 | 0.005 | 0.000 | 880.366 | 883.638 | See | See |
| 30 | KNeighborsClassifier_kd_tree | False | fit | 1000 | 1000 | 2 | 0.003 | 0.0 | NaN | 0.005 | 0.0 | -1 | 1 | NaN | NaN | 0.004 | 0.000 | 0.732 | 0.732 | See | See |
| 35 | KNeighborsClassifier_kd_tree | False | fit | 1000 | 1000 | 2 | 0.001 | 0.0 | NaN | 0.018 | 0.0 | -1 | 5 | NaN | 1.000 | 0.000 | 0.000 | 7.622 | 10.458 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 120.957 | 0.000 | NaN | 0.000 | 0.121 | -1 | 1 | 0.929 | 0.910 | 0.118 | 0.002 | 1026.007 | 1026.155 | See | See |
| 2 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 0.498 | 0.007 | NaN | 0.000 | 0.000 | -1 | 1 | 0.929 | 1.000 | 0.000 | 0.000 | 1575.387 | 1747.066 | See | See |
| 3 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.575 | 0.059 | NaN | 0.000 | 2.575 | -1 | 1 | 1.000 | NaN | 0.794 | 0.000 | 3.242 | 3.242 | See | See |
| 4 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | NaN | 0.000 | 0.003 | -1 | 1 | 1.000 | 0.941 | 0.217 | 0.012 | 0.012 | 0.012 | See | See |
| 6 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 119.319 | 0.000 | NaN | 0.000 | 0.119 | -1 | 5 | 0.946 | NaN | 0.799 | 0.000 | 149.294 | 149.294 | See | See |
| 7 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 0.952 | 0.019 | NaN | 0.000 | 0.001 | -1 | 5 | 0.946 | 0.940 | 0.644 | 0.007 | 1.478 | 1.478 | See | See |
| 8 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.606 | 0.110 | NaN | 0.000 | 2.606 | -1 | 5 | 1.000 | 1.000 | 0.001 | 0.000 | 3010.218 | 3241.338 | See | See |
| 9 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.004 | 0.001 | NaN | 0.000 | 0.004 | -1 | 5 | 1.000 | NaN | 0.744 | 0.000 | 0.005 | 0.005 | See | See |
| 11 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 118.638 | 0.000 | NaN | 0.000 | 0.119 | 1 | 100 | 0.951 | 1.000 | 0.001 | 0.000 | 136793.341 | 147222.051 | See | See |
| 12 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 5.743 | 0.091 | NaN | 0.000 | 0.006 | 1 | 100 | 0.951 | NaN | 0.726 | 0.000 | 7.906 | 7.906 | See | See |
| 13 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.584 | 0.045 | NaN | 0.000 | 2.584 | 1 | 100 | 1.000 | 0.941 | 0.214 | 0.006 | 12.088 | 12.092 | See | See |
| 14 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | NaN | 0.000 | 0.003 | 1 | 100 | 1.000 | 1.000 | 0.000 | 0.000 | 7.193 | 7.921 | See | See |
| 16 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 129.118 | 0.000 | NaN | 0.000 | 0.129 | -1 | 100 | 0.951 | 0.910 | 0.117 | 0.002 | 1107.836 | 1107.962 | See | See |
| 17 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 3.246 | 0.052 | NaN | 0.000 | 0.003 | -1 | 100 | 0.951 | 1.000 | 0.000 | 0.000 | 10490.704 | 11413.417 | See | See |
| 18 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.590 | 0.065 | NaN | 0.000 | 2.590 | -1 | 100 | 1.000 | NaN | 0.001 | 0.000 | 2665.508 | 2665.508 | See | See |
| 19 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.006 | 0.001 | NaN | 0.000 | 0.006 | -1 | 100 | 1.000 | 0.879 | 0.000 | 0.000 | 11.807 | 12.461 | See | See |
| 21 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 127.413 | 0.000 | NaN | 0.000 | 0.127 | 1 | 5 | 0.946 | NaN | 0.002 | 0.000 | 55931.340 | 55931.340 | See | See |
| 22 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 1.726 | 0.025 | NaN | 0.000 | 0.002 | 1 | 5 | 0.946 | 0.905 | 0.001 | 0.000 | 2228.687 | 2269.149 | See | See |
| 23 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.628 | 0.098 | NaN | 0.000 | 2.628 | 1 | 5 | 1.000 | 1.000 | 0.000 | 0.000 | 23216.849 | 29509.215 | See | See |
| 24 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.002 | 0.001 | NaN | 0.000 | 0.002 | 1 | 5 | 1.000 | NaN | 0.004 | 0.000 | 0.466 | 0.466 | See | See |
| 26 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 131.532 | 0.000 | NaN | 0.000 | 0.132 | 1 | 1 | 0.929 | 1.000 | 0.000 | 0.000 | 1073194.923 | 1343227.407 | See | See |
| 27 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 0.896 | 0.006 | NaN | 0.000 | 0.001 | 1 | 1 | 0.929 | NaN | 0.001 | 0.000 | 858.575 | 858.575 | See | See |
| 28 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.614 | 0.103 | NaN | 0.000 | 2.614 | 1 | 1 | 1.000 | 0.917 | 0.005 | 0.000 | 555.083 | 557.288 | See | See |
| 29 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.001 | 0.000 | NaN | 0.000 | 0.001 | 1 | 1 | 1.000 | 1.000 | 0.000 | 0.000 | 8.708 | 11.518 | See | See |
| 31 | KNeighborsClassifier_kd_tree | True | predict | 1000 | 1000 | 2 | 0.040 | 0.002 | NaN | 0.000 | 0.000 | -1 | 1 | 0.891 | 0.905 | 0.001 | 0.000 | 54.586 | 56.096 | See | See |
| 32 | KNeighborsClassifier_kd_tree | False | predict | 1000 | 1000 | 2 | 0.021 | 0.001 | NaN | 0.001 | 0.000 | -1 | 1 | 0.891 | 1.000 | 0.000 | 0.000 | 185.670 | 251.654 | See | See |
| 33 | KNeighborsClassifier_kd_tree | True | predict | 1000 | 1 | 2 | 0.005 | 0.000 | NaN | 0.000 | 0.005 | -1 | 1 | 1.000 | NaN | 0.007 | 0.000 | 0.735 | 0.735 | See | See |
| 34 | KNeighborsClassifier_kd_tree | False | predict | 1000 | 1 | 2 | 0.002 | 0.000 | NaN | 0.000 | 0.002 | -1 | 1 | 1.000 | 0.879 | 0.000 | 0.000 | 4.991 | 5.209 | See | See |
KMeans_tall¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: algorithm=full, n_clusters=3, max_iter=30, n_init=1, tol=1e-16.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter_sklearn | iteration_throughput | latency | init | adjusted_rand_score_sklearn | n_iter_sklearnex | adjusted_rand_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KMeans_tall | False | fit | 1000000 | 1000000 | 2 | 0.752 | 0.0 | 30 | 0.021 | 0.0 | random | NaN | 30 | NaN | 0.412 | 0.0 | 1.824 | 1.824 | See | See |
| 3 | KMeans_tall | False | fit | 1000000 | 1000000 | 2 | 0.584 | 0.0 | 30 | 0.027 | 0.0 | k-means++ | NaN | 30 | NaN | 0.441 | 0.0 | 1.325 | 1.325 | See | See |
| 6 | KMeans_tall | False | fit | 1000000 | 1000000 | 100 | 6.104 | 0.0 | 30 | 0.131 | 0.0 | random | NaN | 30 | NaN | 2.821 | 0.0 | 2.164 | 2.164 | See | See |
| 9 | KMeans_tall | False | fit | 1000000 | 1000000 | 100 | 5.953 | 0.0 | 30 | 0.134 | 0.0 | k-means++ | NaN | 30 | NaN | 2.826 | 0.0 | 2.107 | 2.107 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter_sklearn | iteration_throughput | latency | init | adjusted_rand_score_sklearn | n_iter_sklearnex | adjusted_rand_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KMeans_tall | False | predict | 1000000 | 1000 | 2 | 0.001 | 0.0 | 30 | 0.011 | 0.000 | random | 0.000 | 30 | 0.001 | 0.0 | 0.0 | 9.214 | 10.968 | See | See |
| 2 | KMeans_tall | False | predict | 1000000 | 1 | 2 | 0.001 | 0.0 | 30 | 0.000 | 0.001 | random | 1.000 | 30 | 1.000 | 0.0 | 0.0 | 9.951 | 12.076 | See | See |
| 4 | KMeans_tall | False | predict | 1000000 | 1000 | 2 | 0.001 | 0.0 | 30 | 0.011 | 0.000 | k-means++ | 0.001 | 30 | 0.001 | 0.0 | 0.0 | 9.002 | 11.107 | See | See |
| 5 | KMeans_tall | False | predict | 1000000 | 1 | 2 | 0.001 | 0.0 | 30 | 0.000 | 0.001 | k-means++ | 1.000 | 30 | 1.000 | 0.0 | 0.0 | 10.372 | 12.815 | See | See |
| 7 | KMeans_tall | False | predict | 1000000 | 1000 | 100 | 0.002 | 0.0 | 30 | 0.469 | 0.000 | random | 0.002 | 30 | 0.002 | 0.0 | 0.0 | 5.810 | 6.603 | See | See |
| 8 | KMeans_tall | False | predict | 1000000 | 1 | 100 | 0.001 | 0.0 | 30 | 0.001 | 0.001 | random | 1.000 | 30 | 1.000 | 0.0 | 0.0 | 10.056 | 12.206 | See | See |
| 10 | KMeans_tall | False | predict | 1000000 | 1000 | 100 | 0.002 | 0.0 | 30 | 0.462 | 0.000 | k-means++ | 0.002 | 30 | 0.002 | 0.0 | 0.0 | 5.364 | 5.947 | See | See |
| 11 | KMeans_tall | False | predict | 1000000 | 1 | 100 | 0.002 | 0.0 | 30 | 0.001 | 0.002 | k-means++ | 1.000 | 30 | 1.000 | 0.0 | 0.0 | 11.477 | 14.226 | See | See |
KMeans_short¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: algorithm=full, n_clusters=300, max_iter=20, n_init=1, tol=1e-16.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter_sklearn | iteration_throughput | latency | init | adjusted_rand_score_sklearn | n_iter_sklearnex | adjusted_rand_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KMeans_short | False | fit | 10000 | 10000 | 2 | 0.131 | 0.0 | 20 | 0.001 | 0.0 | random | NaN | 20 | NaN | 0.053 | 0.0 | 2.469 | 2.469 | See | See |
| 3 | KMeans_short | False | fit | 10000 | 10000 | 2 | 0.216 | 0.0 | 20 | 0.001 | 0.0 | k-means++ | NaN | 20 | NaN | 0.080 | 0.0 | 2.697 | 2.697 | See | See |
| 6 | KMeans_short | False | fit | 10000 | 10000 | 100 | 0.205 | 0.0 | 20 | 0.039 | 0.0 | random | NaN | 20 | NaN | 0.113 | 0.0 | 1.811 | 1.811 | See | See |
| 9 | KMeans_short | False | fit | 10000 | 10000 | 100 | 0.562 | 0.0 | 20 | 0.014 | 0.0 | k-means++ | NaN | 20 | NaN | 0.305 | 0.0 | 1.843 | 1.843 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter_sklearn | iteration_throughput | latency | init | adjusted_rand_score_sklearn | n_iter_sklearnex | adjusted_rand_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KMeans_short | False | predict | 10000 | 1000 | 2 | 0.002 | 0.000 | 20 | 0.009 | 0.000 | random | 0.002 | 20 | 0.001 | 0.001 | 0.0 | 2.550 | 3.124 | See | See |
| 2 | KMeans_short | False | predict | 10000 | 1 | 2 | 0.005 | 0.009 | 20 | 0.000 | 0.005 | random | 1.000 | 20 | 1.000 | 0.000 | 0.0 | 31.157 | 38.497 | See | See |
| 4 | KMeans_short | False | predict | 10000 | 1000 | 2 | 0.005 | 0.009 | 20 | 0.003 | 0.000 | k-means++ | 0.002 | 20 | 0.001 | 0.001 | 0.0 | 9.781 | 9.945 | See | See |
| 5 | KMeans_short | False | predict | 10000 | 1 | 2 | 0.001 | 0.000 | 20 | 0.000 | 0.001 | k-means++ | 1.000 | 20 | 1.000 | 0.000 | 0.0 | 9.718 | 11.451 | See | See |
| 7 | KMeans_short | False | predict | 10000 | 1000 | 100 | 0.003 | 0.000 | 20 | 0.309 | 0.000 | random | 0.321 | 20 | 0.311 | 0.001 | 0.0 | 2.363 | 2.429 | See | See |
| 8 | KMeans_short | False | predict | 10000 | 1 | 100 | 0.002 | 0.000 | 20 | 0.001 | 0.002 | random | 1.000 | 20 | 1.000 | 0.000 | 0.0 | 7.920 | 8.963 | See | See |
| 10 | KMeans_short | False | predict | 10000 | 1000 | 100 | 0.003 | 0.000 | 20 | 0.309 | 0.000 | k-means++ | 0.381 | 20 | 0.286 | 0.001 | 0.0 | 2.425 | 2.452 | See | See |
| 11 | KMeans_short | False | predict | 10000 | 1 | 100 | 0.001 | 0.000 | 20 | 0.001 | 0.001 | k-means++ | 1.000 | 20 | 1.000 | 0.000 | 0.0 | 8.390 | 9.588 | See | See |
LogisticRegression¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: penalty=l2, dual=False, tol=0.0001, C=1.0, fit_intercept=True, intercept_scaling=1, class_weight=nan, random_state=nan, solver=lbfgs, max_iter=100, multi_class=auto, verbose=0, warm_start=False, n_jobs=nan, l1_ratio=nan.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | class_weight | l1_ratio | n_jobs | random_state | accuracy_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | LogisticRegression | False | fit | 1000000 | 1000000 | 100 | 12.061 | 0.0 | [20] | 0.066 | 0.000 | NaN | NaN | NaN | NaN | NaN | 1.995 | 0.0 | 6.045 | 6.045 | See | See |
| 3 | LogisticRegression | False | fit | 1000 | 1000 | 10000 | 4.104 | 0.0 | [26] | 0.019 | 0.004 | NaN | NaN | NaN | NaN | NaN | 0.937 | 0.0 | 4.382 | 4.382 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | class_weight | l1_ratio | n_jobs | random_state | accuracy_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | LogisticRegression | False | predict | 1000000 | 1000 | 100 | 0.000 | 0.0 | [20] | 2.635 | 0.0 | NaN | NaN | NaN | NaN | 0.56 | 0.000 | 0.0 | 0.834 | 0.958 | See | See |
| 2 | LogisticRegression | False | predict | 1000000 | 1 | 100 | 0.000 | 0.0 | [20] | 0.012 | 0.0 | NaN | NaN | NaN | NaN | 1.00 | 0.000 | 0.0 | 0.374 | 0.445 | See | See |
| 4 | LogisticRegression | False | predict | 1000 | 100 | 10000 | 0.002 | 0.0 | [26] | 4.690 | 0.0 | NaN | NaN | NaN | NaN | 0.35 | 0.003 | 0.0 | 0.540 | 0.545 | See | See |
| 5 | LogisticRegression | False | predict | 1000 | 1 | 10000 | 0.000 | 0.0 | [26] | 0.833 | 0.0 | NaN | NaN | NaN | NaN | 0.00 | 0.001 | 0.0 | 0.124 | 0.128 | See | See |
Ridge¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: alpha=1.0, fit_intercept=True, normalize=deprecated, copy_X=True, max_iter=nan, tol=0.001, solver=auto, random_state=nan.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | max_iter | random_state | r2_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Ridge | False | fit | 1000 | 1000 | 10000 | 0.186 | 0.0 | NaN | 0.429 | 0.0 | NaN | NaN | NaN | 0.184 | 0.0 | 1.016 | 1.016 | See | See |
| 3 | Ridge | False | fit | 1000000 | 1000000 | 100 | 1.475 | 0.0 | NaN | 0.542 | 0.0 | NaN | NaN | NaN | 0.649 | 0.0 | 2.272 | 2.272 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | max_iter | random_state | r2_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Ridge | False | predict | 1000 | 1000 | 10000 | 0.011 | 0.0 | NaN | 7.001 | 0.0 | NaN | NaN | 0.083 | 0.019 | 0.0 | 0.611 | 0.611 | See | See |
| 2 | Ridge | False | predict | 1000 | 1 | 10000 | 0.000 | 0.0 | NaN | 1.013 | 0.0 | NaN | NaN | NaN | 0.000 | 0.0 | 0.658 | 0.771 | See | See |
| 4 | Ridge | False | predict | 1000000 | 1000 | 100 | 0.000 | 0.0 | NaN | 4.782 | 0.0 | NaN | NaN | 1.000 | 0.000 | 0.0 | 0.566 | 0.671 | See | See |
| 5 | Ridge | False | predict | 1000000 | 1 | 100 | 0.000 | 0.0 | NaN | 0.013 | 0.0 | NaN | NaN | NaN | 0.000 | 0.0 | 0.672 | 0.829 | See | See |